Challenges that generative artificial intelligence poses to higher education and management and the countermeasures— A visualized analysis of literature from 2019 to 2023 using CiteSpace

Abstract

In this study, a visualized analysis of the target literature is made from different perspectives using CiteSpace and the literature analysis module of the Chinese National Knowledge Infrastructure (CNKI) to identify the challenges that the generative artificial intelligence (GAI) technology poses to higher education and management and corresponding countermeasures. Our analysis revealed that GAI would reduce the demand for teachers, weaken the teacher-student tie, and exacerbate the students’ digital overdependence, causing conflicts in data ethics and intellectual property. Thus, recommendations are made here for the four parties involved in the research: the government should formulate laws to strengthen network supervision; schools need to advance the digital reform on talent training models; teachers need to keep up with the latest educational theories to shift their roles; and students need to remain critical and independent thinkers in the age of educational digitalization 2.0.

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